Using moment invariants for the registration and recognition of hyperspectral image regions

Chia-Yun Kuan; Glenn E. Healey

doi:10.1117/12.542660

12 August 2004 Using moment invariants for the registration and recognition of hyperspectral image regions

Chia-Yun Kuan, Glenn E. Healey

Proceedings Volume 5425, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X; (2004) https://doi.org/10.1117/12.542660
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

We show that moment invariants of spectral distributions provide region descriptors that are independent of changes in the illumination and atmospheric conditions. These invariants can be computed efficiently for band subsets of hyperspectral data. Moment invariants have several applications in hyperspectral data processing. They can be used for the registration of image regions acquired at different times and for the transformation of images acquired at different times to a canonical invariant representation for comparison. Moment invariants can also be used for the recognition of image regions under unknown conditions. We demonstrate the properties of moment invariants using hyperspectral images synthesized using DIRSIG.

Citation Download Citation

Chia-Yun Kuan and Glenn E. Healey "Using moment invariants for the registration and recognition of hyperspectral image regions", Proc. SPIE 5425, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, (12 August 2004); https://doi.org/10.1117/12.542660

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